A. Leung

most citedAn investigation on the factors affecting machine learning classifications in

γ

-ray astronomy

36 citations · 59 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 13 cited

DRIFT: Deep Reinforcement Learning for Functional Software Testing

Luke Harries, Rebekah Storan Clarke, Timothy Chapman +10

Efficient software testing is essential for productive software development and reliable user experiences. As human testing is inefficient and expensive, automated software testing…

astro-ph.HE2020★ 10 cited

Searches for Pulsar-like Candidates from Unidentified Objects in the Third Catalog of Hard Fermi-LAT (3FHL) sources with Machine Learning Techniques

C. Y. Hui, Jongsu Lee, K. L. Li +7

We report the results of searching pulsar-like candidates from the unidentified objects in the $3^{rd}$ Catalog of Hard Fermi-LAT sources (3FHL). Using a machine-learning based…

astro-ph.IM2020★ 36 cited

An investigation on the factors affecting machine learning classifications in $γ$ -ray astronomy

Shengda Luo, Alex P. Leung, C. Y. Hui +1

We have investigated a number of factors that can have significant impacts on the classification performance of $γ$ -ray sources detected by Fermi Large Area Telescope (LAT) with ma…

DRIFT: Deep Reinforcement Learning for Functional Software Testing

Searches for Pulsar-like Candidates from Unidentified Objects in the Third Catalog of Hard Fermi-LAT (3FHL) sources with Machine Learning Techniques

An investigation on the factors affecting machine learning classifications in γ-ray astronomy

An investigation on the factors affecting machine learning classifications in $γ$ -ray astronomy